A Self-Supervised Deep Learning Reconstruction for Shortening the Breathhold and Acquisition Window in Cardiac Magnetic Resonance Fingerprinting

The aim of this study is to shorten the breathhold and diastolic acquisition window in cardiac magnetic resonance fingerprinting (MRF) for simultaneous T(1), T(2), and proton spin density (M(0)) mapping to improve scan efficiency and reduce motion artifacts. To this end, a novel reconstruction was d...

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Detalles Bibliográficos
Autor principal: Hamilton, Jesse I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260051/
https://www.ncbi.nlm.nih.gov/pubmed/35811730
http://dx.doi.org/10.3389/fcvm.2022.928546

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260051/
https://www.ncbi.nlm.nih.gov/pubmed/35811730
http://dx.doi.org/10.3389/fcvm.2022.928546

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